A description is given of the concept of a multiagent plan-recognition model to assist a naval tactical decision maker in interpreting the activity of enemy ships and aircraft (agents) and predicting their goals and plans. Multiagent templates have been devised to capture the tactical decision-maker's knowledge of how the plans of individual agents interact in pursuit of shared goals. The templates provide a flexible knowledge representation that allows the plan-recognition model to reason about different situation-specific variations in the ways multiagent plans may unfold. Template instances form hypotheses of future agent actions and are created in top-down/bottom-up manner. The hypotheses are then updated based on observations of agent behavior. The plan-recognition process features mechanisms to curb the proliferation of hypotheses possible in multiagent domains.


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    Title :

    Template-based multi-agent plan recognition for tactical situation assessment


    Additional title:

    Template-basierte Mehrfach auftretende Planerkennung fuer die taktische Situationseinschaetzung


    Contributors:
    Azarewicz, J. (author) / Fala, G. (author) / Heithecker, C. (author)


    Publication date :

    1989


    Size :

    8 Seiten, 12 Quellen




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English






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